Research concept
Ontology of Artificial Nature
Research on human–nonhuman relations and the conditions of Artificial Nature when generative AI, algorithms, and platforms become environments.
Research object
This research examines how matter, energy, data, and networks form the substrate of Artificial Nature and how information, algorithms, UI, and UX organize that substrate into a world of human experience.
Core problem
Treating digital environments as immaterial virtual space alone cannot account for both their material dependencies and the layers that organize human experience.
Theoretical background
Artificial Nature explains the ontological structure in which technological realities become environmental conditions. The Mechanocene concerns the civilizational feedback through which that environment conditions subsequent human action; the two concepts are therefore distinct.
Research questions
- How do matter, energy, data, and networks constitute the substrate of technological environments?
- How do information, algorithms, UI, and UX organize that substrate as a human world of experience?
Method and unit of analysis
Analysis distinguishes substrate and stratum, the institutional and social mediations between them, and their effects on human experience.
Relations to core concepts
- Artificial Nature
- Mechanocene
- Operational Autonomy
- Eco-Digital
Representative publications and evidence
- Ontology of Artificial Nature: Focusing on the Four Elements of Basis and Stratum2026 · 현대문학이론연구 101, 79–129 · DOI 10.22273/SMLT.101.4
- Birth of Artificial Nature and the Humanities of Coexistence2021 · The Journal of the Convergence on Culture Technology 7(4), 449–460 · DOI 10.17703/JCCT.2021.7.4.449
- The Problems of Media Aesthetics in the Techedit Era (2): The Birth of Artificial Nature and the Transparency of Immersion2021 · 인문콘텐츠 60, 151–170 · DOI 10.18658/humancon.2021.03.151
Related projects
Current status and limits
This research page concerns the Ontology of Artificial Nature. The mechanocene route is retained as a compatibility legacy slug and should not be confused with the execution of the Mechanocene project.
Agent provenance
KRITIK_ARENA and related AI-agent labels disclose provenance by distinguishing human authors, automated agents, model/provider context, and review status. Agent output should not be read as identical to a human author's view or to peer-reviewed validation.
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